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What Will Work Look Like in 2030?

Strategy+Business

The dizzying pace of change makes it difficult to plan for -- or even think about -- the long-term. That's why we spent some time envisioning four alternative future worlds of work.

Company 62
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2030

Seth Godin Blog

I just installed new smoke detectors in the house (definitely worth the hassle and low expense) and the batteries now last ten years. There’s a little spot on the side of the detector to write the year you installed it.

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How Companies Can Mitigate AI’s Growing Environmental Footprint

Harvard Business

By 2030, AI’s power demand is expected to rise by 160%. As artificial intelligence (AI) becomes increasingly ubiquitous in business and governance, its substantial environmental impact — from significant increases in energy and water usage to heightened carbon emissions — cannot be ignored.

Company 89
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Sustainable Supply Chains Reduce Environmental Footprint

Tom Spencer

For example, Unilever is working towards making all of its plastic packaging recyclable, reusable, or compostable by 2030. The company’s Project Gigaton aims to eliminate one billion metric tons of greenhouse gases from its global supply chain by 2030. Reducing packaging waste is a significant focus for many businesses.

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4 Factors That Will Help Project Managers Fulfill AI’s Potential

Harvard Business

According to Gartner, 80% of project management tasks will be run by AI by 2030. Indeed, AI is transforming every aspect of work, including our management of people and projects.

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End of Gasoline Powered Autos by 2030?

MishTalk

Earlier this month, the German Bundesrat voted to ban new gasoline- or diesel-powered vehicles from EU roads starting in 2030. Days later, the German Transport Minister Calls Internal Combustion Ban “Utter Nonsense” Let’s take a look at both stories. more…).

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Navigating Generative AI as an Older Worker

Harvard Business

McKinsey’s recent findings suggest that by 2030, 30% of tasks across the U.S. Generative AI has revolutionized the professional landscape. economy might be automated, up from 21% before generative AI. But what does this mean for those senior professionals who have dedicated decades to developing skills in a specific field?